stat_isotonic {ggisotonic} | R Documentation |
stat from isotonic regression
Description
Adds a stat with isotonic or monotonic regression based on 'fdrtool::monoreg' with optional weights
Usage
stat_isotonic(
mapping = NULL,
data = NULL,
geom = "line",
position = "identity",
show.legend = NA,
inherit.aes = TRUE,
precision = 4,
increasing = TRUE,
...
)
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
geom |
The geometric object to use display the data |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
precision |
Round 'x' with some precision to remove duplicates values |
increasing |
(bool) Whether y increases with x (isotonic) |
... |
Other arguments passed on to |
Value
Returns a object of class 'gg', 'ggplot'
Examples
library("ggplot2")
set.seed(100)
dataset = data.frame(x = sort(runif(1e2)),
y = c(rnorm(1e2/2), rnorm(1e2/2, mean = 4)),
w = sample(1:3, 1e2, replace = TRUE)
)
# plot isotonic regression line
ggplot(dataset, aes(x = x, y = y)) +
geom_point() +
stat_isotonic()
# plot weighted isotonic regression line along with facets
ggplot(dataset, aes(x = x, y = y)) +
geom_point() +
stat_isotonic(aes(w = w), color = 'red', size = 1.5, show.legend = FALSE) +
facet_wrap(w ~ .)